Abstract: Techniques for managing video stream data and portions of video stream data are disclosed. In particular, the present invention enables the user to match portions of video streams against stored, previously characterized video streams using Canny edge detection filtering coupled with Hu invariant third moments of those edges. According to one aspect of the present invention, the video stream data is encoded with the following technique, which selects specific frames from the video stream, finds the edges of objects within these selected frames using Canny edge detection, separates each edge into a distinct object, calculates Hu invariant third moments for each edge, and stores each edge together with the video stream and frame identification and it's Hu invariant third moments in a database for later comparison. Similar encoding can then be performed for a query video stream to compare against the previously identified video streams stored in the database to identify a unique video stream.

Abstract: Techniques for managing multi-dimensional spatial data are disclosed. The multi-dimensional spatial data include, but are not limited to, two- and three-dimensional imagery data, video clips, motion picture files and movies. In particular, the present invention enables the user to match sub-regions of query data with stored spatial data in a database using foveal indices. According to one aspect of the present invention, the multi-dimensional spatial data is encoded with the following technique, which segments the spatial data into overlapping samples (“foveal samples”), represents foveal samples as polar-domain foveals in a polar coordinate system, processes the foveals into a scale- and rotation-invariant canonical form (“canonical foveal”), extracts features from foveals using a mathematical transform (e.g., wavelet, beamlet), and generates and stores a set of foveal indices for each canonical foveal matching application criteria.

Abstract: Techniques for managing video stream data and portions of video stream data are disclosed. In particular, the present invention enables the user to match portions of video streams against stored, previously characterized video streams using Canny edge detection filtering coupled with Hu invariant third moments of those edges. According to one aspect of the present invention, the video stream data is encoded with the following technique, which selects specific frames from the video stream, finds the edges of objects within these selected frames using Canny edge detection, separates each edge into a distinct object, calculates Hu invariant third moments for each edge, and stores each edge together with the video stream and frame identification and it's Hu invariant third moments in a database for later comparison. Similar encoding can then be performed for a query video stream to compare against the previously identified video streams stored in the database to identify a unique video stream.